Free Courses

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.

Discover Handel’s Messiah in this installment of First Nights, which will explore five masterpieces of western music.

Learn about successful collaborations between families and educators and why they lead to improved outcomes for students and schools.

Learn the fundamentals of chemistry and energy, from the types of energy to atomic mass and matter to enthalpy and thermodynamics.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Find innovation opportunities in health care technology, management, consulting, or investing by examining health care cost, quality, and access.

Show what you’ve learned from the Professional Certificate Program in Data Science.

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

Learn about the rich and diverse beliefs and practices of Buddhists across time and place. Experience Buddhism through its scriptures, both relationally as well as academically.

Expand your learning of chemistry and thermodynamics by exploring entropy, free energy, and equilibrium.

Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once.

Learn the principles guiding humanitarian response to modern emergencies, and the challenges faced in the field today.

Explore acts of storytelling in Shakespeare’s Othello alongside world-class artists who interpret Othello’s story in new forms and contexts today.

Embark on a global journey to explore the past, present, and future of world literature.

Explore and understand your own theories of learning and leadership. Gain the tools to imagine and build the future of learning.

Learn about Claudio Monteverdi’s L’Orfeo, one of the first operas ever written.

Study Japanese scroll art as text and as "little movies" that immerse the viewer through visual narration. 

This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

This is CS50’s introduction to computer science and tech literacy for business professionals.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Equipping clinicians with an up‑to‑date, comprehensive understanding of stem cell–based approaches for Parkinson’s disease, including biological rationale, current trial outcomes, comparison with existing therapies, and guidance for evidence.

Explore the roles that microbes play in the production, preservation, and enhancement of diverse foods in a variety of culinary traditions, and learn about the history of food fermentations.

Top chefs and Harvard researchers explore how everyday cooking and haute cuisine can illuminate basic principles in chemistry, physics, and engineering. Learn about food molecules and how chemical reactions can affect food texture and flavor.

Learn about the Qin and Han dynasties, and how Buddhism and ideas of self-realization influenced the medieval period.

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Learn about the key beliefs and practices of Judaism through an examination of its sacred texts and their interpretation.

Learn how to protect children from violence, exploitation, and neglect through law, policy, and practice in a human rights framework.

Reimagine global health problems with some of the leading global health thinkers and actors through a case-based biosocial framework.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.